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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tie-Jun Yu Ching-Fang Lin Muller, P.C. |
| Copyright Year | 1996 |
| Description | Author affiliation: American GNC Corp., Chatsworth, CA, USA (Tie-Jun Yu) |
| Abstract | The problem of linear quadratic (LQ) optimal control of linear systems with algebraic-equation constraint is considered in this paper. Based on the stabilized constraint relation, this problem is transformed to an optimal control problem with equality constraints of the control and state variables. Then, using optimal control theory, the LQ regulator is derived which minimizes the given quadratic performance criterion and simultaneously forces the closed-loop system to satisfy the constraints. The sufficient condition for the existence of an LQ regulator and the stability of the corresponding closed-loop system are studied, which show that the closed-loop poles consist of the poles of the stabilized constraint relation and the other stable poles which are independent of the stabilized constraint relation. The application to a constrained mechanical system is discussed, and two examples are also given to illustrate the validity of the design method presented. |
| Starting Page | 4146 |
| Ending Page | 4151 |
| File Size | 517339 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780335902 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.1996.577429 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-12-13 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Regulators Linear systems Control systems Optimal control Lagrangian functions Motion control Mechanical systems Power system dynamics Force control Robot kinematics |
| Content Type | Text |
| Resource Type | Article |
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